A hybrid machine learning/pharmacokinetic approach outperforms maximum a posteriori Bayesian estimation by selectively flattening model priors

• Autori principali: Jasmine H. Hughes (Autore), Ron J. Keizer (Autore)
• Natura: Libro
• Pubblicazione: Wiley, 2021-10-01T00:00:00Z.
• Soggetti: article
• Accesso online: Connect to this object online.

Abstract Model‐informed precision dosing (MIPD) approaches typically apply maximum a posteriori (MAP) Bayesian estimation to determine individual pharmacokinetic (PK) parameters with the goal of optimizing future dosing regimens. This process combines knowledge about the individual, in the form of d...